MOVZX and Hinata
d365f4586f
docs: Add power-limit benchmark results
...
Record the 220 W, 250 W, and 285 W sweep on PCIe Gen4 x16 and Gen3 x16.
State the testbed, the reproduce commands, and the results. Add the
findings: prefill scales sub-linearly, +12.9% from 220 W to 285 W on
Gen4, while decode stays inside the measured spread. Recommend Gen4 at
250 W.
Co-Authored-By: Hinata <hinata@idihore.id >
Signed-off-by: MOVZX <movzx@yahoo.com >
2026-10-15 07:26:46 +00:00
MOVZX
eb8c302bb3
fix: Adjust start script to avoid crashing on high pressure KV cache
...
Stress-tested using 4 concurrent requests with 240K tokens each:
```
(APIServer pid=1) INFO 10-15 06:21:25 [loggers.py:315] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 3.0 tokens/s, Running: 4 reqs, Waiting: 1 reqs, GPU KV cache usage: 98.8%, Prefix cache hit rate: 0.0%
(APIServer pid=1) INFO 10-15 06:21:26 [loggers.py:315] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 17.0 tokens/s, Running: 4 reqs, Waiting: 1 reqs, GPU KV cache usage: 99.2%, Prefix cache hit rate: 0.0%
(APIServer pid=1) INFO 10-15 06:21:27 [loggers.py:315] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 8.0 tokens/s, Running: 4 reqs, Waiting: 1 reqs, GPU KV cache usage: 99.6%, Prefix cache hit rate: 0.0%
(APIServer pid=1) INFO 10-15 06:21:28 [loggers.py:315] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 20.9 tokens/s, Running: 4 reqs, Waiting: 1 reqs, GPU KV cache usage: 100.0%, Prefix cache hit rate: 0.0%
```
Co-Authored-By: Hinata <hinata@idihore.id >
Signed-off-by: MOVZX <movzx@yahoo.com >
2026-10-15 06:24:25 +00:00